Journal Article


Richard B Reilly
Richard W Costello
Fintan Hughes
Clarice Egan
Yaniv Zigel
Terence E Taylor


Computer Science

audio device critical discriminant analysis flow clinical classification patients

Objective Assessment of Patient Inhaler User Technique Using an Audio-Based Classification Approach. (2017)

Abstract Many patients make critical user technique errors when using pressurised metered dose inhalers (pMDIs) which reduce the clinical efficacy of respiratory medication. Such critical errors include poor actuation coordination (poor timing of medication release during inhalation) and inhaling too fast (peak inspiratory flow rate over 90‚ÄČL/min). Here, we present a novel audio-based method that objectively assesses patient pMDI user technique. The Inhaler Compliance Assessment device was employed to record inhaler audio signals from 62 respiratory patients as they used a pMDI with an In-Check Flo-Tone device attached to the inhaler mouthpiece. Using a quadratic discriminant analysis approach, the audio-based method generated a total frame-by-frame accuracy of 88.2% in classifying sound events (actuation, inhalation and exhalation). The audio-based method estimated the peak inspiratory flow rate and volume of inhalations with an accuracy of 88.2% and 83.94% respectively. It was detected that 89% of patients made at least one critical user technique error even after tuition from an expert clinical reviewer. This method provides a more clinically accurate assessment of patient inhaler user technique than standard checklist methods.
Collections Ireland -> Royal College of Surgeons in Ireland -> PubMed

Full list of authors on original publication

Richard B Reilly, Richard W Costello, Fintan Hughes, Clarice Egan, Yaniv Zigel, Terence E Taylor

Experts in our system

Richard Reilly
Trinity College Dublin
Total Publications: 185
Richard W Costello
Royal College of Surgeons in Ireland
Total Publications: 66
Terence E Taylor
Royal College of Surgeons in Ireland